Spotify Twisters

To use this application, please click here to ask Spotify for your data. We encourage you to download all the data available, you can then upload the endsong.json files here.

The General Data Protection Regulation (GDPR) was implemented by the European Union on May 25, 2018, to enhance data protection. The GDPR grants individuals the right to access and download their personal data, enabling them to review and understand how their information is being processed.

Behind the Viz

ts: 2018-09-24T17:43:57Z;

ms_played: 235382;

conn_country: CH;

ip_addr_decrypted: 85.208.53.147;

user_agent_decrypted: unknown;

master_metadata_track_name: Sing;

master_metadata_album_artist_name: Ed Sheeran;

master_metadata_album_album_name: x;

spotify_track_uri: spotify:track:6K8qKeWo5MsFED7wCR6Kop;

episode_name: None;

episode_show_name: None;

spotify_episode_uri: None;

reason_start: fwdbtn;

reason_end: trackdone;

shuffle: true;

skipped: None;

offline: true;

offline_timestamp: 1537230143612;

incognito_mode: ;

These are the 19 features inside the main endsong.json files that Spotify uses to track your data.

Understanding Your Data

Welcome to Spotify Twister, an interactive tool that allows you to explore your personal Spotify data. We pivot away from aggregate public data and focus on the unique patterns in an individual's data. Our project provides a lens into your personal music consumption trends, leveraging the organized, detailed, and accessible dataset provided by Spotify. It's a step towards making the most out of your data.

Whether you're a tech enthusiast or a music lover curious about your listening habits, Spotify Twister aims to provide you an intuitive and informative experience. Join us in this exploration and discover the fascinating stories hidden within your data!

We believe in the power of data transparency and individuality. By peeling back the layers of metadata, Spotify Twister lets you journey into the nuances of your listening habits, revealing insights you may never have realized. Let's dive into this exciting exploration of data, music, and personal patterns!